Lack of molecular mimicry between HPV vaccine L1 antigen and human proteins by a computational analysis

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Authors: Kazuhiro Nishioka, Kentaro Sekiyama, Reona Shiro, I Tsunoda, Noriomi Matsumura
Cited by: 2
References: 32

Abstract

BACKGROUND: Although human papillomavirus (HPV) vaccines effectively prevent cervical cancer, the HPV vaccination rates in Japan remain low because of concerns about alleged neurological adverse events. Darja Kanduc proposed a flawed hypothesis that molecular mimicry between HPV and human proteins could induce cross-reactive antibodies, causing autoimmune organ damage, even when only the portions of amino acid (AA)-sequences of the epitopes were identical between HPV and human proteins. METHODS: In this study, we conducted the same computational data analysis as Kanduc, using 22 linear epitopes (9-23 AA-length) of the HPV type 16 L1 protein (HPV16L1) registered in the database. RESULTS: We found that no human epitopes had identical AA-sequences to any HPV16L1 epitopes, demonstrating that HPV16L1 had no molecular mimicry with linear epitopes that have the potential to induce cross-reactive autoantibodies. On the other hand, we identified various numbers of human protein epitopes whose AA-sequences were partially identical with epitopes of HPV16L1, hepatitis B virus (HBV), and respiratory syncytial virus (RSV). We found that HPV16L1 had a smaller number of such proteins having "partial molecular mimicry" than HBV and RSV. CONCLUSIONS: Our current in silico analysis provided no evidence that HPV vaccinations could induce cross-reactive autoantibodies. The flawed molecular mimicry data should not be used as a scientific basis for alleged HPV vaccine-induced adverse events.

Fields of Study & Subjects

vaccines and immunoinformatics approaches Cervical Cancer and HPV Research Immunotherapy and Immune Responses

Publication details

Journal / source
International Journal of Clinical Oncology
Publisher
Springer Science and Business Media LLC
Volume
31
Issue
3
Pages
494–503
Publication date
8 January 2026
Language
EN